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使用C++对Minimum Snap算法进行了实现,实现的结果超过了论文中给出的计算速度。并且实现了三维和二维的Minimum Snap轨迹生成算法
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
A C++ ROS package implementing trajectory planning using MPC for an autonomous vehicle project
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
2025最新悄咪咪收集的10000+个Telegram群合集,附全网最有趣好用的机器人BOT🤖【电报百科全书】
OpenMMLab Detection Toolbox and Benchmark
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
如果你想使用Qt如鱼得水, 这里的东西值得你学习。
快速入门CMake,通过例程学习语法。在线阅读地址:https://sfumecjf.github.io/cmake-examples-Chinese/
C++提高 (看过c++基础之后再看)黑马培训课程,自己手打,路径 https://www.bilibili.com/video/av35939892/?p=3
Complete Coverage Path Planning Using BCD Algorithm
深蓝学院课程Motion Planning for Mobile Robots: https://www.shenlanxueyuan.com/course/358
深蓝学院《移动机器人运动规划》作业代码 - Amos98
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
This repository implements a Nonlinear Model Predictive Control (NMPC) approach for tracking local trajectories generated by Fastplanner.